stats

Simulating data following a given covariance structure

October 12, 2011 | Luis

Every year there is at least a couple of occasions when I have to simulate multivariate data that follow a given covariance matrix. For example, let’s say that we want to create an example of the effect of collinearity when … Continue reading → [Read more...]

On R versus SAS

October 6, 2011 | Luis

A short while ago there was a discussion on linkedin about the use of SAS versus R for the enterprise. I have thought a bit about the issue but, as I do not use Linkedin, I did not make any … Continue reading → [Read more...]

Linear regression with correlated data

October 5, 2011 | Luis

I started following the debate on differential minimum wage for youth (15-19 year old) and adults in New Zealand. Eric Crampton has written a nice series of blog posts, making the data from Statistics New Zealand available. I will use … Continue reading → [Read more...]

How many NYC restaurants get As on their health inspections?

August 15, 2011 | dan

Decision Science News is no stranger to misleading infographics in free New York newspapers. We could stop reading them entirely, but we find that playing "spot the infographic flaw" makes time fly on the subway. Recently we saw the above graphic in a paper called Metro. Can you spot the ... [Read more...]

The Stats Clinic

July 27, 2011 | richierocks

Here at HSL we have a lot of smart kinda-numerate people who have access to a lot of data. On a bad day, kinda-numerate includes myself, but in general I’m talking about scientists who have have done an introductory stats course, but not much else. When all you have ... [Read more...]

Best graph ever

July 3, 2011 | dan

Best graph ever. LARGEST EVER DIFFERENCE BETWEEN 328 and 327 SPOTTED IN NEW YORK CITY [Read more...]

Resources for Learning R (from books to blogs)

May 17, 2011 | Adam.Hyland

The information below will be periodically updated at the folowing permanent link: http://www.backsidesmack.com/r-resources/ Searching for information on R sucks. Not only is the language name a letter of the alphabet (an ignominy it shares with C and some less well known languages), there is Pearson’s ... [Read more...]

Using R for Introductory Statistics 6, Simulations

March 21, 2011 | Christopher Bare

R can easily generate random samples from a whole library of probability distributions. We might want to do this to gain insight into the distribution's shape and properties. A tricky aspect of statistics is that results like the central limit theore... [Read more...]

Using R for Introductory Statistics, The Geometric distribution

March 13, 2011 | Christopher Bare

We've already seen two discrete probability distributions, the binomial and the hypergeometric. The binomial distribution describes the number of successes in a series of independent trials with replacement. The hypergeometric distribution describes th... [Read more...]

Bootstrapping the Truncated Normal Distribution

March 2, 2011 | Adam.Hyland

Here’s a post generated from my own ignorance of statistics (as opposed to just being marred by it)! In Labor Economics we walked through something called the truncated normal distribution. Truncated distributions come up a lot in the sciences because … Continue reading → [Read more...]

Using R for Introductory Statistics, Chapter 5, hypergeometric distribution

February 21, 2011 | Christopher Bare

This is a little digression from Chapter 5 of Using R for Introductory Statistics that led me to the hypergeometric distribution. Question 5.13 A sample of 100 people is drawn from a population of 600,000. If it is known that 40% of the population h... [Read more...]

Using R for Introductory Statistics, Chapter 5, Probability Distributions

February 9, 2011 | Christopher Bare

In Chapter 5 of Using R for Introductory Statistics we get a brief introduction to probability and, as part of that, a few common probability distributions. Specifically, the normal, binomial, exponential and lognormal distributions make an appearance.... [Read more...]

Null Confusion

January 25, 2011 | Adam.Hyland

Talking a bit with my friend Jarrod about math stats and econometrics, we both came to the conclusion that the standard presentation for basic inference is lacking. In an intro or intermediate applied statistics course you learn about first and … Continue reading →

[Read more...]

Using R for Introductory Statistics, Chapter 5

January 23, 2011 | Christopher Bare

Any good stats book has to cover a bit of basic probability. That's the purpose of Chapter 5 of Using R for Introductory Statistics, starting with a few definitions: Random variable A random number drawn from a population. A random variable is ... [Read more...]

R: Attack of the hair-trigger bees?

January 12, 2011 | Matt Asher

In their book “Complex Adaptive Systems”, authors Miller and Page create a theoretic model for bee attacks, based on the real, flying, honey-making, photogenic stingers. Suppose the hive is threatened by some external creature. Some initial group of guard bees sense the danger and fly off to attack. As they ... [Read more...]

Using R for Introductory Statistics, Chapter 4, Model Formulae

January 10, 2011 | Christopher Bare

Several R functions take model formulae as parameters. Model formulae are symbolic expressions. They define a relationship between variables rather than an arithmetic expression to be evaluated immediately. Model formulae are defined with the tilde ope... [Read more...]

From one extreme (0) to another (1): challenge failed, but who cares…

January 9, 2011 | arthur charpentier

Just after arriving in Montréal, at the beginning of September, I discussed statistics of my blog, and said that it might be possible - or likely - that by new year's Eve, over a million page would have been viewed on my blog (from Google's count...

[Read more...]

Area plots unmasked

December 15, 2010 | dan

RESULTS OF THE GREAT AREA PLOT QUIZ If you are the type of reader who remembers things from last week, you may remember the great area plot quiz we had running. This week, we are excited to announce that the results are in. The plot above shows answers to the ... [Read more...]

Using R for Introductory Statistics 3.3

August 11, 2010 | Christopher Bare

...continuing our way though John Verzani's Using R for introductory statistics. Previous installments: chapt1&2, chapt3.1, chapt3.2 Relationships in numeric data If two data series have a natural pairing (x1,y1),...,(xn,yn), then we can ask, &ld... [Read more...]

Navigate the Bermuda Triangle of Mediation Analysis

July 6, 2010 | dan

MYTHS AND TRUTHS ABOUT AN OFTEN-USED, LITTLE-UNDERSTOOD STATISTICAL PROCEDURE If you go to a consumer research conference, you will hear tales of how experiments have undergone particular statistical rites: the attainment of the elusive crossover interaction, the demonstration of full mediation through Baron and Kenny’s sacred procedure, and so ...

[Read more...]

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

stats

Simulating data following a given covariance structure

On R versus SAS

Linear regression with correlated data

How many NYC restaurants get As on their health inspections?

The Stats Clinic

Best graph ever

Resources for Learning R (from books to blogs)

Using R for Introductory Statistics 6, Simulations

Using R for Introductory Statistics, The Geometric distribution

Bootstrapping the Truncated Normal Distribution

Using R for Introductory Statistics, Chapter 5, hypergeometric distribution

Using R for Introductory Statistics, Chapter 5, Probability Distributions

Null Confusion

Using R for Introductory Statistics, Chapter 5

R: Attack of the hair-trigger bees?

Using R for Introductory Statistics, Chapter 4, Model Formulae

From one extreme (0) to another (1): challenge failed, but who cares…

Area plots unmasked

Using R for Introductory Statistics 3.3

Navigate the Bermuda Triangle of Mediation Analysis

stats

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